Detection of sleep-disordered breating with Pressure Bed Sensor

Guillermina Guerrero, Juha M. Kortelainen, Elvia Palacios, Anna M. Bianchi, Giulia Tachino, Mirja Tenhunen, Martin O. Méndez, Mark van Gils

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

6 Citations (Scopus)

Abstract

A Pressure Bed Sensor (PBS) can offer an unobtrusive method for sleep monitoring. This study focuses on the detection of the sleep related breathing disorders using a PBS in comparison to the methods used in a sleep laboratory. A newly developed PCA modeling approach for the eight sensor signals of the PBS is evaluated using the Reduced Respiratory Amplitude Index (RRAI) as a central measure. The method computes the respiration amplitude with the Hilbert transform, and then detects the events based on a 20% amplitude reduction from the baseline signal. A similar calculation was used for the sleep laboratory RIP measurements, and both PBS and RIP were compared against the reference based on the nasal flow signal. In the reference RRAI method, the respiratory-disordered events were obtained using RemLogic respiration analyzer to detect over 50% amplitude reduction in the nasal respiratory flow, but removing the RemLogic standard hypopnea event associations on the oxygen desaturation events and the sleep arousals. The movement artifacts were automatically detected based on the movement activity signal of the PBS. Twenty-five (25) out of 28 patients were finally analysed. On average 87% of a night measurement has been covered by the system. The correlation coefficient was 0.92 between the PBS and the reference RRAI, and the performance of the PBS was similar with the RIP belts. Classifying the severity of the sleep related breathing by dividing RRAI in groups according to the severity criteria, the sensitivity was 92% and the specificity was 70% for the PBS. The results suggest that PBS recording can provide an easy and un-obstructive alternative method for the detection of the sleep disordered breathing and thus has a great promise for the home monitoring.
Original languageEnglish
Title of host publication2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
PublisherInstitute of Electrical and Electronic Engineers IEEE
Pages1342-1345
ISBN (Print)978-1-4577-0216-7
DOIs
Publication statusPublished - 2013
MoE publication typeA4 Article in a conference publication
Event35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013 - Osaka, Japan
Duration: 3 Jul 20137 Jul 2013
Conference number: 35

Conference

Conference35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013
Abbreviated titleEMBC 2013
CountryJapan
CityOsaka
Period3/07/137/07/13

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sleep
sensor
respiration
detection
index method
monitoring
artifact
transform
oxygen

Cite this

Guerrero, G., Kortelainen, J. M., Palacios, E., Bianchi, A. M., Tachino, G., Tenhunen, M., ... van Gils, M. (2013). Detection of sleep-disordered breating with Pressure Bed Sensor. In 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (pp. 1342-1345). Institute of Electrical and Electronic Engineers IEEE. https://doi.org/10.1109/EMBC.2013.6609757
Guerrero, Guillermina ; Kortelainen, Juha M. ; Palacios, Elvia ; Bianchi, Anna M. ; Tachino, Giulia ; Tenhunen, Mirja ; Méndez, Martin O. ; van Gils, Mark. / Detection of sleep-disordered breating with Pressure Bed Sensor. 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Institute of Electrical and Electronic Engineers IEEE, 2013. pp. 1342-1345
@inproceedings{51b4b334417a45f19a51c20aec377322,
title = "Detection of sleep-disordered breating with Pressure Bed Sensor",
abstract = "A Pressure Bed Sensor (PBS) can offer an unobtrusive method for sleep monitoring. This study focuses on the detection of the sleep related breathing disorders using a PBS in comparison to the methods used in a sleep laboratory. A newly developed PCA modeling approach for the eight sensor signals of the PBS is evaluated using the Reduced Respiratory Amplitude Index (RRAI) as a central measure. The method computes the respiration amplitude with the Hilbert transform, and then detects the events based on a 20{\%} amplitude reduction from the baseline signal. A similar calculation was used for the sleep laboratory RIP measurements, and both PBS and RIP were compared against the reference based on the nasal flow signal. In the reference RRAI method, the respiratory-disordered events were obtained using RemLogic respiration analyzer to detect over 50{\%} amplitude reduction in the nasal respiratory flow, but removing the RemLogic standard hypopnea event associations on the oxygen desaturation events and the sleep arousals. The movement artifacts were automatically detected based on the movement activity signal of the PBS. Twenty-five (25) out of 28 patients were finally analysed. On average 87{\%} of a night measurement has been covered by the system. The correlation coefficient was 0.92 between the PBS and the reference RRAI, and the performance of the PBS was similar with the RIP belts. Classifying the severity of the sleep related breathing by dividing RRAI in groups according to the severity criteria, the sensitivity was 92{\%} and the specificity was 70{\%} for the PBS. The results suggest that PBS recording can provide an easy and un-obstructive alternative method for the detection of the sleep disordered breathing and thus has a great promise for the home monitoring.",
author = "Guillermina Guerrero and Kortelainen, {Juha M.} and Elvia Palacios and Bianchi, {Anna M.} and Giulia Tachino and Mirja Tenhunen and M{\'e}ndez, {Martin O.} and {van Gils}, Mark",
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Guerrero, G, Kortelainen, JM, Palacios, E, Bianchi, AM, Tachino, G, Tenhunen, M, Méndez, MO & van Gils, M 2013, Detection of sleep-disordered breating with Pressure Bed Sensor. in 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Institute of Electrical and Electronic Engineers IEEE, pp. 1342-1345, 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013, Osaka, Japan, 3/07/13. https://doi.org/10.1109/EMBC.2013.6609757

Detection of sleep-disordered breating with Pressure Bed Sensor. / Guerrero, Guillermina; Kortelainen, Juha M.; Palacios, Elvia; Bianchi, Anna M.; Tachino, Giulia; Tenhunen, Mirja; Méndez, Martin O.; van Gils, Mark.

2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Institute of Electrical and Electronic Engineers IEEE, 2013. p. 1342-1345.

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

TY - GEN

T1 - Detection of sleep-disordered breating with Pressure Bed Sensor

AU - Guerrero, Guillermina

AU - Kortelainen, Juha M.

AU - Palacios, Elvia

AU - Bianchi, Anna M.

AU - Tachino, Giulia

AU - Tenhunen, Mirja

AU - Méndez, Martin O.

AU - van Gils, Mark

N1 - CA2: TK802 SDA: ISM

PY - 2013

Y1 - 2013

N2 - A Pressure Bed Sensor (PBS) can offer an unobtrusive method for sleep monitoring. This study focuses on the detection of the sleep related breathing disorders using a PBS in comparison to the methods used in a sleep laboratory. A newly developed PCA modeling approach for the eight sensor signals of the PBS is evaluated using the Reduced Respiratory Amplitude Index (RRAI) as a central measure. The method computes the respiration amplitude with the Hilbert transform, and then detects the events based on a 20% amplitude reduction from the baseline signal. A similar calculation was used for the sleep laboratory RIP measurements, and both PBS and RIP were compared against the reference based on the nasal flow signal. In the reference RRAI method, the respiratory-disordered events were obtained using RemLogic respiration analyzer to detect over 50% amplitude reduction in the nasal respiratory flow, but removing the RemLogic standard hypopnea event associations on the oxygen desaturation events and the sleep arousals. The movement artifacts were automatically detected based on the movement activity signal of the PBS. Twenty-five (25) out of 28 patients were finally analysed. On average 87% of a night measurement has been covered by the system. The correlation coefficient was 0.92 between the PBS and the reference RRAI, and the performance of the PBS was similar with the RIP belts. Classifying the severity of the sleep related breathing by dividing RRAI in groups according to the severity criteria, the sensitivity was 92% and the specificity was 70% for the PBS. The results suggest that PBS recording can provide an easy and un-obstructive alternative method for the detection of the sleep disordered breathing and thus has a great promise for the home monitoring.

AB - A Pressure Bed Sensor (PBS) can offer an unobtrusive method for sleep monitoring. This study focuses on the detection of the sleep related breathing disorders using a PBS in comparison to the methods used in a sleep laboratory. A newly developed PCA modeling approach for the eight sensor signals of the PBS is evaluated using the Reduced Respiratory Amplitude Index (RRAI) as a central measure. The method computes the respiration amplitude with the Hilbert transform, and then detects the events based on a 20% amplitude reduction from the baseline signal. A similar calculation was used for the sleep laboratory RIP measurements, and both PBS and RIP were compared against the reference based on the nasal flow signal. In the reference RRAI method, the respiratory-disordered events were obtained using RemLogic respiration analyzer to detect over 50% amplitude reduction in the nasal respiratory flow, but removing the RemLogic standard hypopnea event associations on the oxygen desaturation events and the sleep arousals. The movement artifacts were automatically detected based on the movement activity signal of the PBS. Twenty-five (25) out of 28 patients were finally analysed. On average 87% of a night measurement has been covered by the system. The correlation coefficient was 0.92 between the PBS and the reference RRAI, and the performance of the PBS was similar with the RIP belts. Classifying the severity of the sleep related breathing by dividing RRAI in groups according to the severity criteria, the sensitivity was 92% and the specificity was 70% for the PBS. The results suggest that PBS recording can provide an easy and un-obstructive alternative method for the detection of the sleep disordered breathing and thus has a great promise for the home monitoring.

U2 - 10.1109/EMBC.2013.6609757

DO - 10.1109/EMBC.2013.6609757

M3 - Conference article in proceedings

SN - 978-1-4577-0216-7

SP - 1342

EP - 1345

BT - 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

PB - Institute of Electrical and Electronic Engineers IEEE

ER -

Guerrero G, Kortelainen JM, Palacios E, Bianchi AM, Tachino G, Tenhunen M et al. Detection of sleep-disordered breating with Pressure Bed Sensor. In 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Institute of Electrical and Electronic Engineers IEEE. 2013. p. 1342-1345 https://doi.org/10.1109/EMBC.2013.6609757